Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Xia, Qiaolin"'
The traditional vertical federated learning schema suffers from two main issues: 1) restricted applicable scope to overlapped samples and 2) high system challenge of real-time federated serving, which limits its application to advertising systems. To
Externí odkaz:
http://arxiv.org/abs/2209.15635
Autor:
Li, Wenjie, Xia, Qiaolin, Deng, Junfeng, Cheng, Hao, Liu, Jiangming, Xue, Kouying, Cheng, Yong, Xia, Shu-Tao
As an emerging secure learning paradigm in lever-aging cross-agency private data, vertical federatedlearning (VFL) is expected to improve advertising models by enabling the joint learning of complementary user attributes privately owned by the advert
Externí odkaz:
http://arxiv.org/abs/2205.15987
Autor:
Xia, Qiaolin, Huang, Haoyang, Duan, Nan, Zhang, Dongdong, Ji, Lei, Sui, Zhifang, Cui, Edward, Bharti, Taroon, Liu, Xin, Zhou, Ming
While many BERT-based cross-modal pre-trained models produce excellent results on downstream understanding tasks like image-text retrieval and VQA, they cannot be applied to generation tasks directly. In this paper, we propose XGPT, a new method of C
Externí odkaz:
http://arxiv.org/abs/2003.01473
Autor:
Xia, Qiaolin, Li, Xiujun, Li, Chunyuan, Bisk, Yonatan, Sui, Zhifang, Gao, Jianfeng, Choi, Yejin, Smith, Noah A.
Learning to navigate in a visual environment following natural language instructions is a challenging task because natural language instructions are highly variable, ambiguous, and under-specified. In this paper, we present a novel training paradigm,
Externí odkaz:
http://arxiv.org/abs/2003.00857
Autor:
Li, Xiujun, Li, Chunyuan, Xia, Qiaolin, Bisk, Yonatan, Celikyilmaz, Asli, Gao, Jianfeng, Smith, Noah, Choi, Yejin
Core to the vision-and-language navigation (VLN) challenge is building robust instruction representations and action decoding schemes, which can generalize well to previously unseen instructions and environments. In this paper, we report two simple b
Externí odkaz:
http://arxiv.org/abs/1909.02244
Word Sense Disambiguation (WSD) aims to identify the correct meaning of polysemous words in the particular context. Lexical resources like WordNet which are proved to be of great help for WSD in the knowledge-based methods. However, previous neural n
Externí odkaz:
http://arxiv.org/abs/1805.08028
Previous studies on Chinese semantic role labeling (SRL) have concentrated on single semantically annotated corpus. But the training data of single corpus is often limited. Meanwhile, there usually exists other semantically annotated corpora for Chin
Externí odkaz:
http://arxiv.org/abs/1702.06740